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+ Model Card
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+ Model Description
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+ This model is a fine-tuned version of ChatGLM3-6B, designed for conversational AI applications. It uses a BERT-based embedding model for text representation.
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+ Model Architecture
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+ Base Model: ChatGLM3-6B
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+ Embedding Model: BERT-based architecture (BertForMaskedLM)
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+ Type: Conversational AI
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+ Language: Chinese (presumably, based on ChatGLM3's primary language support)
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+ Input & Output
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+ Input: Text (conversation/dialogue format)
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+ Output: Text (conversational responses)
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+ Uses
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+ Primary Intended Uses
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+ Conversational AI applications
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+ Text-based dialogue systems
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+ Out-of-Scope Uses
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+ Not intended for production deployment without proper evaluation
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+ Not recommended for critical decision-making systems
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+ Not suitable for medical, legal, or financial advice
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+ Training Data
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+ The model has been trained on custom datasets. Due to the proprietary nature of the training data, specific details are not publicly available.
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+ Training Process
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+ Base Model: ChatGLM3-6B
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+ Fine-tuning: Custom dataset
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+ Embedding: BERT-based model
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+ Performance and Limitations
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+ Performance Metrics
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+ Performance metrics are not currently available. Users should conduct their own evaluation based on their specific use cases.
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+ Limitations
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+ The model's performance characteristics have not been thoroughly evaluated
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+ May inherit biases from both ChatGLM3-6B and the custom training data
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+ Should be used with appropriate content filtering and safety measures
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+ Recommendations
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+ Suggested Uses
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+ Testing and development environments
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+ Non-critical conversational applications
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+ Research and experimentation
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+ Technical Requirements
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+ Compatible with ChatGLM3-6B system requirements
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+ Requires appropriate GPU resources for inference
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+ Ethical Considerations
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+ Users should be aware that:
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+ The model may produce unexpected or biased outputs
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+ Output should be monitored and filtered for inappropriate content
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+ The model should not be used for making critical decisions affecting human welfare
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+ Future Work
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+ Suggested areas for improvement:
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+ Comprehensive performance evaluation
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+ Documentation of specific use cases and limitations
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+ Development of safety guidelines
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+ Collection of user feedback for improvement
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+ Citation and License
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+ License information is not specified. Users should consult with the model creators regarding usage rights and restrictions.
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+ Note: This model card is based on limited available information and should be updated as more details become available.